Job Description

Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges!



As an AI/ML Senior Associate, you'll primarily focus on applying Large Language Models (LLM) and Generative AI (GenAI) on different use cases and detailed technical documentation of these AI/ML and LLM/GenAI solutions. You will also engage in some traditional AI/ML model development and documentation to enhance organizational efficiency. You'll contribute to building, implementing, testing, and analyzing ML/AI solutions. Your success will depend on your ability to understand data relationships, use data-driven solutions, and effectively document these products. Strong communication skills are essential for collaborating with key stakeholders across functions and lines of business.

Job Responsibilities:

Develop and document innovative AI/ML models with a focus on GenAI and LLM use cases (using out-of-the-box models). Execute AI/ML model development, ensuring alignment with organizational goals. Document use cases and technical solutions. Apply out-of-the-box LLM products to address various business challenges and create efficiencies. Collaborate with cross-functional teams to identify opportunities for AI/ML integration. Conduct experiments and validate hypotheses to ensure the effectiveness of AI/ML solutions. Provide insights and recommendations based on data analysis and model outcomes.

Required Qualifications, Capabilities, and Skills:

Formal training or certification on software engineering concepts and 2+ years applied experience Hands on experience in AI/ML development and application. BS degree in a related field, such as Data Science, Computer Science, Engineering, or similar STEM discipline. Strong understanding of GenAI and LLM technologies and their applications. Experience working with Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, including their design, implementation, and optimization Experience with the use of system prompting, prompt tuning, vector databases and implementing effective guardrails to ensure safe and reliable AI interactions and understanding of AI libraries such as (AutoGen, Langchain, Pydantic, LangGraph) Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Proficiency in programming languages such as Python or R for AI/ML model development/deployment. Experience with AI/ML frameworks and libraries. Ability to translate complex technical concepts into clear documentation and presentations. Strong problem-solving skills and a creative approach to AI/ML application.

Preferred Qualifications, Capabilities, and Skills:

Experience in applying AI/ML solutions in industries such as finance, or technology. Deep understanding of traditional AI/ML techniques as well as GenAI/LLM models. * Excellent communication skills for collaboration with stakeholders at various levels.Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges!